research-article

Failure management development for integrated automotive safety-critical software systems

Authors:

Chang Oan SungAuthors Info & Claims

SAC '09: Proceedings of the 2009 ACM symposium on Applied Computing

Pages 517 - 521

https://doi.org/10.1145/1529282.1529390

Published: 08 March 2009 Publication History

Abstract

Nowadays the number of vehicles equipped with electronic components is increasing rapidly by replacing mechanical and hydraulic systems. The most advanced cars function appropriately via more than 50 Electronic Control Units (ECUs), sensors and actuators that exchange more than 2500 electronic signals among them. The electronic components are interconnected with automotive bus systems. There are several bus systems that have been developed or improved in automotive bus systems to meet the different requirements for automotive applications: Local Interconnection Network (LIN), Controller Area Network (CAN), FlexRay and Media Oriented System Transport (MOST). However, there are demands to combine these different bus systems to increase the efficiency and safety of the vehicle systems. Failure management is a most challenging problem in car industry since the integrated automotive system needs to communicate with software/hardware components on the different bus systems in a car. The discussion on how to interconnect those automotive bus systems in a safety-critical way is addressed in the paper, where failure management should be applied.

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Cited By

Micea MCarstoiu GUngurean LChiciudean DCretu VGroza V(2010)PARSECS: A Predictable Data Communication System for Smart Sensors and Hard Real-Time ApplicationsIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2010.204636359:11(2968-2981)Online publication date: Nov-2010
https://doi.org/10.1109/TIM.2010.2046363

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cover image ACM Conferences

SAC '09: Proceedings of the 2009 ACM symposium on Applied Computing

March 2009

2347 pages

ISBN:9781605581668

DOI:10.1145/1529282

Conference Chairs:
Sung Y. Shin
South Dakota State University, United States
,
Sascha Ossowski
University Rey Juan Carlos, Spain

Copyright © 2009 ACM.

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New York, NY, United States

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Published: 08 March 2009

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March 8, 2009 - March 12, 2008

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Cited By

Micea MCarstoiu GUngurean LChiciudean DCretu VGroza V(2010)PARSECS: A Predictable Data Communication System for Smart Sensors and Hard Real-Time ApplicationsIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2010.204636359:11(2968-2981)Online publication date: Nov-2010
https://doi.org/10.1109/TIM.2010.2046363

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